Top Data & Analytics Jobs

Support enterprise BI data warehouse: perform ETL and data integration, develop SQL scripts, build and maintain SSRS reports and SSAS cubes, use Qlik for analytics, document solutions, support stakeholders and train end users.

Conduct open-source research and analysis to support sanctions, trade compliance, and due diligence. Review potential sanctions hits, monitor global sanctions and economic news, maintain databases, protect confidentiality, and collaborate cross-functionally while working autonomously in a remote environment.

Design, develop, and optimize ETL/data integration, data platforms, and BI solutions. Lead technical designs, troubleshoot production issues, participate in on-call support, and document processes to ensure scalable, secure, high-performance enterprise data solutions.

Lead the data platform team owning dbt projects, CI/CD, and Snowflake infrastructure. Architect scalable onboarding for new sources, enforce data quality via tests and contracts, review designs, prioritize roadmap, partner with stakeholders, and grow engineers while advancing AI/agent integration.

Lead and develop a team of data engineers while contributing hands-on to design, implement, and operate scalable, secure data pipelines. Partner with product, software, and architecture teams to deliver cloud-native data solutions, ensure production reliability, and drive engineering best practices and continuous improvement.

Support EPR program by mapping regulatory obligations, collecting and validating packaging/sales/environmental data, maintaining reporting systems, analyzing trends, supporting audits, and translating sustainability data into actionable insights for compliance and improvement.

Lead the creation and operationalization of enterprise data governance to make data AI-ready: define taxonomies, metadata, data dictionaries, lineage, access rights, and quality controls; run stewardship workshops; certify data readiness for AI use cases; drive adoption and compliance with CCPA, SOX, GDPR, and HIPAA.

Partner with product teams to run experiments, analyze product and funnel data, build and maintain analytics tracking, validate analytics solutions, and deliver actionable insights to inform roadmap and product decisions.

Provide senior-level business and data analysis for the TIERS eligibility system: lead JAD sessions, define requirements, run complex SQL to validate data quality and rules, and design dashboards, KPIs, and performance measures to support operations and decision-making.

The Acquiom Imports Analyst interprets payment data, manipulates spreadsheets for import into NetSuite, and ensures data accuracy for M&A transactions.